Server data from the Official MCP Registry
Connecticut DMV: vehicle-level electric vehicle registrations by town, make and model
Connecticut DMV: vehicle-level electric vehicle registrations by town, make and model
Remote endpoints: streamable-http: https://gateway.pipeworx.io/ct-dmv/mcp
Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. Trust signals: trusted author (1273/1286 approved). 1 finding(s) downgraded by scanner intelligence.
32 tools verified · Open access · 1 issue found
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Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-pipeworx-io-ct-dmv": {
"url": "https://gateway.pipeworx.io/ct-dmv/mcp"
}
}
}From the project's GitHub README.
Connecticut DMV MCP — electric-vehicle registrations at vehicle level, aggregated on demand by town, make, model, model year or body type.
ct_dmv_ev_registrations(group_by?, city?, make?, model?, model_year?, vehicle_type?, limit?)
— counts of registered electric vehicles. Answers "how many EVs are registered in
Connecticut", "how many Teslas are registered in Connecticut", "which Connecticut town has
the most EVs", "most popular EV models in Connecticut".group_by accepts city (default), make, model, model_year, vehicle_type, body,
fuel, color, plate_type, usage, category.
Keyless.
The file is a snapshot taken 2025-02-28. Connecticut has not refreshed it since, so it
covers the electric vehicles registered as of February 2025 and a count read as "today" is
wrong by more than a year. as_of carries the refresh date, covers states the period in
words, and a note repeats it on every response.
One row per registered vehicle — 60,489 of them, each with plate type, owner town, weight,
colour, model year and expiry. The pack never returns those individual records; it aggregates
server-side with $select=<col>,count(1)&$group=<col> and returns counts.
sum_of_returned_rows is the sum of the rows actually returned, and truncated says whether
limit cut the list off. There are ~170 Connecticut towns and hundreds of models, so a default
call is usually truncated — which is why no field claims to be a statewide EV total.
Verified live 2026-07-29, group_by="make": Tesla 21,405 · Toyota 5,759 · Jeep 5,302 ·
Chevrolet 2,982 · KIA 2,916. Total rows in the file: 60,489.
https://data.ct.gov/resource/y7ky-5wcz.json — CT DMV "Electric Vehicle Registration Data".https://data.ct.gov/api/views/y7ky-5wcz.json — rowsUpdatedAt, used for as_of.Column names are lowercase and unseparated: primarycustomercity, vehiclemake,
vehiclemodel, vehicleyear, vehicletype, vehiclebody, fuelcode, platetype,
registrationusage. Town names are stored upper-case (WEST HARTFORD) while makes are mixed
case (Tesla, KIA), so both are matched with upper(col) like.
Rejected while building: apne-w8c6, published as "Licensed Automobile Dealers And
Repairers", sounds like a dealer locator but holds 138 manufacturer licences, mostly held
by out-of-state RV and trailer makers — 23 in Indiana, 18 in California, 2 in Connecticut, and
every row is MANUFACTURER LICENSE. It cannot answer "find a licensed dealer or repairer near
me", so no tool wraps it. Do not re-probe it expecting a dealer list.
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"ct-dmv": {
"url": "https://gateway.pipeworx.io/ct-dmv/mcp"
}
}
}
Or connect to the full Pipeworx gateway for access to all 1392+ data sources:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Instead of calling tools directly, you can ask questions in plain English:
ask_pipeworx({ question: "your question about Connecticut DMV data" })
The gateway picks the right tool and fills the arguments automatically.
MIT
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